7 citations · 36 across the 14 of their papers we have counts for
4 papers · 1 filter
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman, Valerio Maggio, Diego Fioravanti +7
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept o…
Robust Estimation in High Dimensional Generalized Linear Models
Marina Valdora, Claudio Agostinelli, Victor J. Yohai
Generalized Linear Models are routinely used in data analysis. The classical procedures for estimation are based on Maximum Likelihood and it is well known that the presence of out…
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio +4
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels…
Weighted likelihood estimation of multivariate location and scatter
Claudio Agostinelli, Luca Greco
A novel approach to obtain weighted likelihood estimates of multivariate location and scatter is discussed. A weighting scheme is proposed that is based on the distribution of the…